Overview

Dataset statistics

Number of variables37
Number of observations14838
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 MiB
Average record size in memory339.6 B

Variable types

Numeric31
Categorical6

Alerts

BertzCT is highly overall correlated with Chi1 and 18 other fieldsHigh correlation
Chi1 is highly overall correlated with BertzCT and 18 other fieldsHigh correlation
Chi1n is highly overall correlated with BertzCT and 17 other fieldsHigh correlation
Chi1v is highly overall correlated with BertzCT and 18 other fieldsHigh correlation
Chi2n is highly overall correlated with BertzCT and 17 other fieldsHigh correlation
Chi2v is highly overall correlated with BertzCT and 18 other fieldsHigh correlation
Chi3v is highly overall correlated with BertzCT and 17 other fieldsHigh correlation
Chi4n is highly overall correlated with BertzCT and 15 other fieldsHigh correlation
EState_VSA1 is highly overall correlated with BertzCT and 18 other fieldsHigh correlation
ExactMolWt is highly overall correlated with BertzCT and 18 other fieldsHigh correlation
FpDensityMorgan1 is highly overall correlated with BertzCT and 12 other fieldsHigh correlation
FpDensityMorgan2 is highly overall correlated with FpDensityMorgan1 and 1 other fieldsHigh correlation
FpDensityMorgan3 is highly overall correlated with FpDensityMorgan2High correlation
HallKierAlpha is highly overall correlated with BertzCT and 2 other fieldsHigh correlation
HeavyAtomMolWt is highly overall correlated with BertzCT and 18 other fieldsHigh correlation
Kappa3 is highly overall correlated with BertzCT and 18 other fieldsHigh correlation
MaxAbsEStateIndex is highly overall correlated with BertzCT and 17 other fieldsHigh correlation
MinEStateIndex is highly overall correlated with Chi1 and 13 other fieldsHigh correlation
NumHeteroatoms is highly overall correlated with BertzCT and 19 other fieldsHigh correlation
PEOE_VSA10 is highly overall correlated with BertzCT and 12 other fieldsHigh correlation
PEOE_VSA14 is highly overall correlated with EState_VSA1 and 5 other fieldsHigh correlation
PEOE_VSA8 is highly overall correlated with HallKierAlphaHigh correlation
SMR_VSA10 is highly overall correlated with EState_VSA1 and 6 other fieldsHigh correlation
SMR_VSA5 is highly overall correlated with BertzCT and 16 other fieldsHigh correlation
SlogP_VSA3 is highly overall correlated with BertzCT and 18 other fieldsHigh correlation
VSA_EState9 is highly overall correlated with BertzCT and 19 other fieldsHigh correlation
fr_COO is highly overall correlated with fr_COO2High correlation
fr_COO2 is highly overall correlated with fr_COOHigh correlation
FpDensityMorgan1 is highly skewed (γ1 = -120.9302614)Skewed
FpDensityMorgan2 is highly skewed (γ1 = -120.9608458)Skewed
FpDensityMorgan3 is highly skewed (γ1 = -120.8300683)Skewed
Kappa3 is highly skewed (γ1 = 26.41961118)Skewed
Chi2n has 229 (1.5%) zerosZeros
Chi2v has 225 (1.5%) zerosZeros
Chi3v has 493 (3.3%) zerosZeros
Chi4n has 1310 (8.8%) zerosZeros
EState_VSA1 has 3010 (20.3%) zerosZeros
EState_VSA2 has 5731 (38.6%) zerosZeros
PEOE_VSA10 has 6205 (41.8%) zerosZeros
PEOE_VSA14 has 4181 (28.2%) zerosZeros
PEOE_VSA6 has 9985 (67.3%) zerosZeros
PEOE_VSA7 has 7485 (50.4%) zerosZeros
PEOE_VSA8 has 8473 (57.1%) zerosZeros
SMR_VSA10 has 2406 (16.2%) zerosZeros
SMR_VSA5 has 2239 (15.1%) zerosZeros
SlogP_VSA3 has 2595 (17.5%) zerosZeros
fr_COO has 9325 (62.8%) zerosZeros
fr_COO2 has 9311 (62.8%) zerosZeros

Reproduction

Analysis started2023-07-07 17:57:26.555681
Analysis finished2023-07-07 18:00:17.405690
Duration2 minutes and 50.85 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

BertzCT
Real number (ℝ)

Distinct2368
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean515.1536
Minimum0
Maximum4069.9598
Zeros34
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:17.515042image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50
Q1149.1036
median290.98794
Q3652.65258
95-th percentile1816.9412
Maximum4069.9598
Range4069.9598
Interquartile range (IQR)503.54898

Descriptive statistics

Standard deviation542.45637
Coefficient of variation (CV)1.0529993
Kurtosis2.939466
Mean515.1536
Median Absolute Deviation (MAD)188.73052
Skewness1.775677
Sum7643849.2
Variance294258.91
MonotonicityNot monotonic
2023-07-07T23:30:17.671255image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
146.2188491 192
 
1.3%
170.3657024 147
 
1.0%
305.926212 147
 
1.0%
2 141
 
1.0%
378.0184384 138
 
0.9%
277.1727756 132
 
0.9%
62.56842503 120
 
0.8%
133.7744375 110
 
0.7%
72.58027135 107
 
0.7%
289.7237977 101
 
0.7%
Other values (2358) 13503
91.0%
ValueCountFrequency (%)
0 34
 
0.2%
1.30673641 1
 
< 0.1%
1.754887502 1
 
< 0.1%
1.77421523 1
 
< 0.1%
2 141
1.0%
2.754887502 26
 
0.2%
2.973272035 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
4.525577768 1
 
< 0.1%
ValueCountFrequency (%)
4069.95978 2
 
< 0.1%
4069.859378 1
 
< 0.1%
3763.010828 1
 
< 0.1%
3618.136729 1
 
< 0.1%
3581.259724 6
< 0.1%
3232.9398 1
 
< 0.1%
3223.9398 1
 
< 0.1%
3223.8398 1
 
< 0.1%
3118.737489 1
 
< 0.1%
2740.126835 4
< 0.1%

Chi1
Real number (ℝ)

Distinct1259
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1351889
Minimum0
Maximum69.551167
Zeros36
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:17.827468image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.6427344
Q14.6807392
median6.4852697
Q311.170477
95-th percentile24.91094
Maximum69.551167
Range69.551167
Interquartile range (IQR)6.4897376

Descriptive statistics

Standard deviation6.819989
Coefficient of variation (CV)0.74656245
Kurtosis2.9067844
Mean9.1351889
Median Absolute Deviation (MAD)2.697576
Skewness1.6793682
Sum135547.93
Variance46.51225
MonotonicityNot monotonic
2023-07-07T23:30:17.983680image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.574586063 331
 
2.2%
2.64273441 311
 
2.1%
4.03658126 294
 
2.0%
3.180739213 218
 
1.5%
5.91279002 192
 
1.3%
7.221032672 172
 
1.2%
3.553418013 164
 
1.1%
2.27005561 162
 
1.1%
5.53658126 158
 
1.1%
4.698377303 154
 
1.0%
Other values (1249) 12682
85.5%
ValueCountFrequency (%)
0 36
 
0.2%
1 133
0.9%
1.27005561 1
 
< 0.1%
1.414213562 97
0.7%
1.5 3
 
< 0.1%
1.732050808 118
0.8%
1.914213562 32
 
0.2%
2 17
 
0.1%
2.0975121 1
 
< 0.1%
2.27005561 162
1.1%
ValueCountFrequency (%)
69.55116728 1
< 0.1%
61.10422515 1
< 0.1%
46.24737705 1
< 0.1%
45.4446602 1
< 0.1%
43.30677547 1
< 0.1%
43.21732811 1
< 0.1%
42.25719726 1
< 0.1%
40.34398172 1
< 0.1%
39.94916085 1
< 0.1%
37.67588457 1
< 0.1%

Chi1n
Real number (ℝ)

Distinct3157
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8543073
Minimum0
Maximum50.174588
Zeros110
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:18.139893image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.3416408
Q12.8445561
median4.0527011
Q37.486791
95-th percentile15.764653
Maximum50.174588
Range50.174588
Interquartile range (IQR)4.6422349

Descriptive statistics

Standard deviation4.6470638
Coefficient of variation (CV)0.79378542
Kurtosis3.4670278
Mean5.8543073
Median Absolute Deviation (MAD)1.7822568
Skewness1.7228554
Sum86866.212
Variance21.595202
MonotonicityNot monotonic
2023-07-07T23:30:18.296109image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.56200947 138
 
0.9%
3.431698411 116
 
0.8%
0 110
 
0.7%
3.217863939 106
 
0.7%
3.281313951 103
 
0.7%
1.049739411 102
 
0.7%
4.29960521 97
 
0.7%
3.713500452 92
 
0.6%
7.079025681 90
 
0.6%
3.473677693 89
 
0.6%
Other values (3147) 13795
93.0%
ValueCountFrequency (%)
0 110
0.7%
0.2 1
 
< 0.1%
0.212739999 1
 
< 0.1%
0.223606798 19
 
0.1%
0.25819889 26
 
0.2%
0.288675135 3
 
< 0.1%
0.298948689 1
 
< 0.1%
0.3 1
 
< 0.1%
0.316227766 2
 
< 0.1%
0.319001447 1
 
< 0.1%
ValueCountFrequency (%)
50.17458776 1
< 0.1%
36.84139984 1
< 0.1%
33.52585235 1
< 0.1%
33.09898249 1
< 0.1%
32.47781262 1
< 0.1%
30.85871864 1
< 0.1%
30.66091854 1
< 0.1%
30.52463041 1
< 0.1%
29.54877071 1
< 0.1%
28.67588457 1
< 0.1%

Chi1v
Real number (ℝ)

Distinct3306
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7384971
Minimum0
Maximum53.431954
Zeros109
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:18.452322image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4538361
Q12.9328418
median4.3928586
Q38.5278592
95-th percentile21.144665
Maximum53.431954
Range53.431954
Interquartile range (IQR)5.5950174

Descriptive statistics

Standard deviation5.866444
Coefficient of variation (CV)0.87058641
Kurtosis3.1124543
Mean6.7384971
Median Absolute Deviation (MAD)2.0373967
Skewness1.7825778
Sum99985.82
Variance34.415165
MonotonicityNot monotonic
2023-07-07T23:30:18.608532image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.829901953 176
 
1.2%
3.56200947 134
 
0.9%
3.431698411 111
 
0.7%
3.217863939 111
 
0.7%
7.079025681 110
 
0.7%
0 109
 
0.7%
3.281313951 105
 
0.7%
1.049739411 102
 
0.7%
3.473677693 92
 
0.6%
3.713500452 85
 
0.6%
Other values (3296) 13703
92.4%
ValueCountFrequency (%)
0 109
0.7%
0.2 1
 
< 0.1%
0.212739999 1
 
< 0.1%
0.223606798 19
 
0.1%
0.25819889 26
 
0.2%
0.288675135 3
 
< 0.1%
0.3 1
 
< 0.1%
0.316227766 2
 
< 0.1%
0.319001447 1
 
< 0.1%
0.333333333 5
 
< 0.1%
ValueCountFrequency (%)
53.43195375 1
 
< 0.1%
39.90199332 1
 
< 0.1%
37.97102709 1
 
< 0.1%
33.09898249 1
 
< 0.1%
32.68492876 1
 
< 0.1%
32.62192876 1
 
< 0.1%
32.47781262 2
 
< 0.1%
32.3862804 10
0.1%
32.35289903 1
 
< 0.1%
31.50081529 1
 
< 0.1%

Chi2n
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3634
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4325697
Minimum0
Maximum32.195368
Zeros229
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:18.749125image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7236068
Q11.9497187
median2.9704266
Q35.7887933
95-th percentile12.448588
Maximum32.195368
Range32.195368
Interquartile range (IQR)3.8390746

Descriptive statistics

Standard deviation3.7605163
Coefficient of variation (CV)0.84838289
Kurtosis3.0333778
Mean4.4325697
Median Absolute Deviation (MAD)1.4702978
Skewness1.6671437
Sum65770.469
Variance14.141483
MonotonicityNot monotonic
2023-07-07T23:30:18.923650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.719449317 239
 
1.6%
0 229
 
1.5%
5.526831883 138
 
0.9%
2.24972252 109
 
0.7%
1.812045589 108
 
0.7%
2.514181782 100
 
0.7%
1.127304926 99
 
0.7%
0.504904335 97
 
0.7%
2.816708822 95
 
0.6%
8.012199133 95
 
0.6%
Other values (3624) 13529
91.2%
ValueCountFrequency (%)
0 229
1.5%
0.079444444 1
 
< 0.1%
0.083333333 5
 
< 0.1%
0.091287093 8
 
0.1%
0.092904317 1
 
< 0.1%
0.105409255 5
 
< 0.1%
0.115470054 4
 
< 0.1%
0.11785113 14
 
0.1%
0.136082764 11
 
0.1%
0.157464186 1
 
< 0.1%
ValueCountFrequency (%)
32.19536806 1
 
< 0.1%
27.76117671 1
 
< 0.1%
27.64646832 1
 
< 0.1%
27.173498 1
 
< 0.1%
26.74468281 1
 
< 0.1%
24.35247347 1
 
< 0.1%
23.75780455 1
 
< 0.1%
23.67316928 5
< 0.1%
23.57486104 1
 
< 0.1%
23.57174746 7
< 0.1%

Chi2v
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3725
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2532212
Minimum0
Maximum34.579313
Zeros225
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:19.082981image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.76638684
Q12.0344684
median3.2427752
Q36.6093503
95-th percentile17.572129
Maximum34.579313
Range34.579313
Interquartile range (IQR)4.5748819

Descriptive statistics

Standard deviation4.9250648
Coefficient of variation (CV)0.93753235
Kurtosis2.8198646
Mean5.2532212
Median Absolute Deviation (MAD)1.6276074
Skewness1.7482601
Sum77947.296
Variance24.256263
MonotonicityNot monotonic
2023-07-07T23:30:19.223570image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.719449317 229
 
1.5%
0 225
 
1.5%
5.526831883 152
 
1.0%
2.24972252 113
 
0.8%
4.562570985 101
 
0.7%
2.514181782 97
 
0.7%
1.812045589 93
 
0.6%
2.634453445 92
 
0.6%
0.504904335 91
 
0.6%
2.816708822 90
 
0.6%
Other values (3715) 13555
91.4%
ValueCountFrequency (%)
0 225
1.5%
0.079444444 1
 
< 0.1%
0.083333333 5
 
< 0.1%
0.091287093 8
 
0.1%
0.105409255 5
 
< 0.1%
0.115470054 3
 
< 0.1%
0.11785113 13
 
0.1%
0.136082764 9
 
0.1%
0.157464186 1
 
< 0.1%
0.157464759 1
 
< 0.1%
ValueCountFrequency (%)
34.57931288 1
 
< 0.1%
29.94837963 1
 
< 0.1%
29.08100827 1
 
< 0.1%
29.03382325 2
 
< 0.1%
29.00825217 6
< 0.1%
28.90683035 2
 
< 0.1%
28.00695412 1
 
< 0.1%
27.83651676 1
 
< 0.1%
27.71950001 3
< 0.1%
27.64646832 3
< 0.1%

Chi3v
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3448
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4187495
Minimum0
Maximum22.880836
Zeros493
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:19.395407image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.17462043
Q11.160763
median1.9486129
Q34.5020697
95-th percentile11.341881
Maximum22.880836
Range22.880836
Interquartile range (IQR)3.3413067

Descriptive statistics

Standard deviation3.4362083
Coefficient of variation (CV)1.0051068
Kurtosis2.5346155
Mean3.4187495
Median Absolute Deviation (MAD)1.166775
Skewness1.6445314
Sum50727.405
Variance11.807528
MonotonicityNot monotonic
2023-07-07T23:30:19.536027image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 493
 
3.3%
3.97897261 250
 
1.7%
1.86705949 183
 
1.2%
2.579511904 155
 
1.0%
1.018938848 121
 
0.8%
0.142576981 102
 
0.7%
7.914541993 101
 
0.7%
0.35739023 100
 
0.7%
1.749075186 100
 
0.7%
1.507704509 98
 
0.7%
Other values (3438) 13135
88.5%
ValueCountFrequency (%)
0 493
3.3%
0.05 7
 
< 0.1%
0.062994079 2
 
< 0.1%
0.071288491 1
 
< 0.1%
0.078092629 1
 
< 0.1%
0.079204124 1
 
< 0.1%
0.087310213 9
 
0.1%
0.10081715 10
 
0.1%
0.102062073 2
 
< 0.1%
0.105628402 1
 
< 0.1%
ValueCountFrequency (%)
22.88083629 1
 
< 0.1%
22.58927557 3
< 0.1%
22.3143997 1
 
< 0.1%
22.2977758 5
< 0.1%
22.2426748 1
 
< 0.1%
22.16061164 4
< 0.1%
21.12338487 3
< 0.1%
21.09265788 1
 
< 0.1%
21.05851793 1
 
< 0.1%
21.01843552 2
 
< 0.1%

Chi4n
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2930
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7734724
Minimum0
Maximum16.07281
Zeros1310
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:19.692211image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.50389663
median1.0732612
Q32.5342812
95-th percentile5.5068458
Maximum16.07281
Range16.07281
Interquartile range (IQR)2.0303846

Descriptive statistics

Standard deviation1.8658979
Coefficient of variation (CV)1.0521156
Kurtosis5.1549852
Mean1.7734724
Median Absolute Deviation (MAD)0.81510275
Skewness1.8939295
Sum26314.784
Variance3.4815751
MonotonicityNot monotonic
2023-07-07T23:30:19.895288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1310
 
8.8%
0.895229535 196
 
1.3%
2.569694053 186
 
1.3%
1.239132439 170
 
1.1%
1.081733811 160
 
1.1%
0.078092629 118
 
0.8%
0.262560609 100
 
0.7%
1.770578623 94
 
0.6%
1.289774594 91
 
0.6%
3.408510786 89
 
0.6%
Other values (2920) 12324
83.1%
ValueCountFrequency (%)
0 1310
8.8%
0.025819947 1
 
< 0.1%
0.027594912 1
 
< 0.1%
0.029730255 1
 
< 0.1%
0.030217023 1
 
< 0.1%
0.043033148 2
 
< 0.1%
0.048547849 8
 
0.1%
0.052704628 27
 
0.2%
0.057735027 5
 
< 0.1%
0.058206809 25
 
0.2%
ValueCountFrequency (%)
16.0728097 1
 
< 0.1%
15.62066735 2
 
< 0.1%
15.02501915 2
 
< 0.1%
14.03060789 1
 
< 0.1%
13.8483896 1
 
< 0.1%
13.78334552 1
 
< 0.1%
13.6208096 5
< 0.1%
13.58686826 5
< 0.1%
13.57441913 1
 
< 0.1%
13.40204527 1
 
< 0.1%

EState_VSA1
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct719
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.202823
Minimum0
Maximum363.70595
Zeros3010
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:20.051501image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.9693053
median17.353601
Q344.876559
95-th percentile90.658938
Maximum363.70595
Range363.70595
Interquartile range (IQR)38.907254

Descriptive statistics

Standard deviation31.728679
Coefficient of variation (CV)1.0864936
Kurtosis2.9389427
Mean29.202823
Median Absolute Deviation (MAD)17.353601
Skewness1.4260096
Sum433311.49
Variance1006.7091
MonotonicityNot monotonic
2023-07-07T23:30:20.207714image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3010
20.3%
5.969305288 1211
 
8.2%
12.01114612 923
 
6.2%
84.55497195 796
 
5.4%
6.103966388 397
 
2.7%
45.13547137 303
 
2.0%
15.64539425 234
 
1.6%
36.9920528 208
 
1.4%
90.65893834 195
 
1.3%
11.75255023 176
 
1.2%
Other values (709) 7385
49.8%
ValueCountFrequency (%)
0 3010
20.3%
1 1
 
< 0.1%
1.111111111 1
 
< 0.1%
4.794537184 2
 
< 0.1%
4.923311049 4
 
< 0.1%
5.428790392 40
 
0.3%
5.563451492 1
 
< 0.1%
5.601050811 113
 
0.8%
5.625586319 1
 
< 0.1%
5.681755366 1
 
< 0.1%
ValueCountFrequency (%)
363.7059541 2
< 0.1%
234.9978465 3
< 0.1%
203.8393844 1
 
< 0.1%
199.9978465 1
 
< 0.1%
199.197256 3
< 0.1%
199.0164767 3
< 0.1%
197.6850722 4
< 0.1%
192.4550623 3
< 0.1%
191.8282383 1
 
< 0.1%
170.3964241 4
< 0.1%

EState_VSA2
Real number (ℝ)

Distinct445
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.435316
Minimum0
Maximum99.936429
Zeros5731
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:20.363931image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.4208216
Q312.841643
95-th percentile41.607352
Maximum99.936429
Range99.936429
Interquartile range (IQR)12.841643

Descriptive statistics

Standard deviation13.651843
Coefficient of variation (CV)1.3082348
Kurtosis4.0267676
Mean10.435316
Median Absolute Deviation (MAD)6.4208216
Skewness1.9143207
Sum154839.22
Variance186.37282
MonotonicityNot monotonic
2023-07-07T23:30:20.535765image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5731
38.6%
6.420821623 691
 
4.7%
6.606881965 661
 
4.5%
41.60735208 470
 
3.2%
5.749511833 427
 
2.9%
12.84164325 364
 
2.5%
11.49902367 298
 
2.0%
11.98427311 253
 
1.7%
5.563451492 223
 
1.5%
11.51895686 209
 
1.4%
Other values (435) 5511
37.1%
ValueCountFrequency (%)
0 5731
38.6%
1.426638065 2
 
< 0.1%
1.47756086 1
 
< 0.1%
3.792535936 1
 
< 0.1%
4.21460058 1
 
< 0.1%
4.482372554 1
 
< 0.1%
4.491468174 1
 
< 0.1%
5.106527395 1
 
< 0.1%
5.11527693 26
 
0.2%
5.414990469 76
 
0.5%
ValueCountFrequency (%)
99.936429 4
< 0.1%
99.80158929 3
< 0.1%
96.39609093 2
< 0.1%
94.04873568 2
< 0.1%
92.9660241 1
 
< 0.1%
90.936429 1
 
< 0.1%
88.7261669 1
 
< 0.1%
88.13082964 3
< 0.1%
78.93504231 1
 
< 0.1%
78.20027243 1
 
< 0.1%

ExactMolWt
Real number (ℝ)

Distinct1666
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean292.62309
Minimum1.0072765
Maximum2237.3185
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:20.691975image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.0072765
5-th percentile87.998286
Q1148.03717
median206.04265
Q3343.09033
95-th percentile853.15199
Maximum2237.3185
Range2236.3112
Interquartile range (IQR)195.05316

Descriptive statistics

Standard deviation225.38414
Coefficient of variation (CV)0.77021995
Kurtosis2.7367067
Mean292.62309
Median Absolute Deviation (MAD)82.108634
Skewness1.7088455
Sum4341941.4
Variance50798.011
MonotonicityNot monotonic
2023-07-07T23:30:20.848190image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260.0297186 371
 
2.5%
180.0633881 303
 
2.0%
342.1162115 230
 
1.6%
178.047738 207
 
1.4%
148.0371734 146
 
1.0%
194.0426527 145
 
1.0%
548.0808414 144
 
1.0%
89.04767846 138
 
0.9%
226.047738 133
 
0.9%
90.03169405 132
 
0.9%
Other values (1656) 12889
86.9%
ValueCountFrequency (%)
1.007276452 1
 
< 0.1%
12.02187243 1
 
< 0.1%
15.01042245 1
 
< 0.1%
16.01872406 27
0.2%
17.00273965 11
0.1%
17.0265491 1
 
< 0.1%
18.0052825 1
 
< 0.1%
26.00273965 1
 
< 0.1%
26.003074 3
 
< 0.1%
26.00362258 6
 
< 0.1%
ValueCountFrequency (%)
2237.31849 1
 
< 0.1%
1404.853962 1
 
< 0.1%
1306.602778 1
 
< 0.1%
1215.434083 2
 
< 0.1%
1209.452587 1
 
< 0.1%
1199.439169 13
0.1%
1199.371735 1
 
< 0.1%
1193.341426 4
 
< 0.1%
1191.375864 1
 
< 0.1%
1182.525345 3
 
< 0.1%

FpDensityMorgan1
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct556
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2367738
Minimum-666
Maximum3
Zeros1
Zeros (%)< 0.1%
Negative3
Negative (%)< 0.1%
Memory size747.9 KiB
2023-07-07T23:30:20.988784image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-666
5-th percentile0.77272727
Q11.0454545
median1.25
Q31.5
95-th percentile1.8571429
Maximum3
Range669
Interquartile range (IQR)0.45454545

Descriptive statistics

Standard deviation5.4912837
Coefficient of variation (CV)4.4400065
Kurtosis14694.857
Mean1.2367738
Median Absolute Deviation (MAD)0.21551724
Skewness-120.93026
Sum18351.25
Variance30.154197
MonotonicityNot monotonic
2023-07-07T23:30:21.176240image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1169
 
7.9%
1.5 847
 
5.7%
1.333333333 677
 
4.6%
1.166666667 452
 
3.0%
1.666666667 324
 
2.2%
1.272727273 318
 
2.1%
2 305
 
2.1%
1.4 299
 
2.0%
1.25 282
 
1.9%
1.833333333 281
 
1.9%
Other values (546) 9884
66.6%
ValueCountFrequency (%)
-666 1
< 0.1%
-14.4584615 1
< 0.1%
-1.25 1
< 0.1%
0 1
< 0.1%
0.076923077 1
< 0.1%
0.181818182 1
< 0.1%
0.25 1
< 0.1%
0.285714286 1
< 0.1%
0.294117647 1
< 0.1%
0.3 2
< 0.1%
ValueCountFrequency (%)
3 92
0.6%
2.833333333 4
 
< 0.1%
2.75 2
 
< 0.1%
2.666666667 48
0.3%
2.619047619 1
 
< 0.1%
2.6 2
 
< 0.1%
2.533333333 1
 
< 0.1%
2.5 9
 
0.1%
2.444444444 2
 
< 0.1%
2.428571429 1
 
< 0.1%

FpDensityMorgan2
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct650
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8120695
Minimum-666
Maximum3.2
Zeros1
Zeros (%)< 0.1%
Negative3
Negative (%)< 0.1%
Memory size747.9 KiB
2023-07-07T23:30:21.348074image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-666
5-th percentile1.2608696
Q11.6909091
median1.8651515
Q32.0621528
95-th percentile2.3333333
Maximum3.2
Range669.2
Interquartile range (IQR)0.37124369

Descriptive statistics

Standard deviation5.4955647
Coefficient of variation (CV)3.032756
Kurtosis14699.711
Mean1.8120695
Median Absolute Deviation (MAD)0.18030303
Skewness-120.96085
Sum26887.488
Variance30.201232
MonotonicityNot monotonic
2023-07-07T23:30:21.504286image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1834
 
12.4%
1.5 525
 
3.5%
1.75 339
 
2.3%
1.857142857 320
 
2.2%
1.8 301
 
2.0%
1.818181818 299
 
2.0%
2.333333333 293
 
2.0%
1.916666667 286
 
1.9%
1.9 273
 
1.8%
2.25 252
 
1.7%
Other values (640) 10116
68.2%
ValueCountFrequency (%)
-666 1
< 0.1%
-14.4584615 1
< 0.1%
-5.111111111 1
< 0.1%
0 1
< 0.1%
0.35 1
< 0.1%
0.416666667 2
< 0.1%
0.471428571 1
< 0.1%
0.475 1
< 0.1%
0.5 1
< 0.1%
0.511111111 1
< 0.1%
ValueCountFrequency (%)
3.2 1
 
< 0.1%
3.166666667 1
 
< 0.1%
3.111111111 3
 
< 0.1%
3 110
0.7%
2.888888889 2
 
< 0.1%
2.875 3
 
< 0.1%
2.833333333 18
 
0.1%
2.8 16
 
0.1%
2.777777778 4
 
< 0.1%
2.75 8
 
0.1%

FpDensityMorgan3
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct654
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.25547
Minimum-666
Maximum3.4
Zeros1
Zeros (%)< 0.1%
Negative2
Negative (%)< 0.1%
Memory size747.9 KiB
2023-07-07T23:30:21.660501image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-666
5-th percentile1.547619
Q12.1
median2.3584906
Q32.5
95-th percentile2.8571429
Maximum3.4
Range669.4
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation5.5011998
Coefficient of variation (CV)2.439048
Kurtosis14678.489
Mean2.25547
Median Absolute Deviation (MAD)0.22515723
Skewness-120.83007
Sum33466.664
Variance30.263199
MonotonicityNot monotonic
2023-07-07T23:30:21.816712image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1403
 
9.5%
2.5 836
 
5.6%
2.666666667 523
 
3.5%
2.4 413
 
2.8%
2.2 374
 
2.5%
2.333333333 370
 
2.5%
2.416666667 329
 
2.2%
2.428571429 309
 
2.1%
2.125 292
 
2.0%
2.285714286 282
 
1.9%
Other values (644) 9707
65.4%
ValueCountFrequency (%)
-666 1
< 0.1%
-14.4584615 1
< 0.1%
0 1
< 0.1%
0.5 1
< 0.1%
0.515625 1
< 0.1%
0.6 1
< 0.1%
0.625 2
< 0.1%
0.730769231 1
< 0.1%
0.80952381 1
< 0.1%
0.818181818 1
< 0.1%
ValueCountFrequency (%)
3.4 2
 
< 0.1%
3.375 2
 
< 0.1%
3.333333333 3
 
< 0.1%
3.285714286 1
 
< 0.1%
3.166666667 1
 
< 0.1%
3.125 17
 
0.1%
3.111111111 44
0.3%
3.1 1
 
< 0.1%
3.090909091 22
0.1%
3.076923077 1
 
< 0.1%

HallKierAlpha
Real number (ℝ)

Distinct388
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2077763
Minimum-7.73
Maximum0.82
Zeros16
Zeros (%)0.1%
Negative14308
Negative (%)96.4%
Memory size747.9 KiB
2023-07-07T23:30:21.972928image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-7.73
5-th percentile-2.96
Q1-1.66
median-1.1
Q3-0.57
95-th percentile-0.03
Maximum0.82
Range8.55
Interquartile range (IQR)1.09

Descriptive statistics

Standard deviation0.93531378
Coefficient of variation (CV)-0.77440981
Kurtosis3.3853785
Mean-1.2077763
Median Absolute Deviation (MAD)0.54
Skewness-1.2553785
Sum-17920.984
Variance0.87481186
MonotonicityNot monotonic
2023-07-07T23:30:22.129175image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.1 778
 
5.2%
-0.57 722
 
4.9%
-0.61 633
 
4.3%
-0.09 451
 
3.0%
-2.44 435
 
2.9%
-1.3 354
 
2.4%
-0.86 319
 
2.1%
-0.24 315
 
2.1%
-1.51 309
 
2.1%
-2.48 283
 
1.9%
Other values (378) 10239
69.0%
ValueCountFrequency (%)
-7.73 2
< 0.1%
-7.12 3
< 0.1%
-6.99 2
< 0.1%
-6.95 1
 
< 0.1%
-6.943506494 3
< 0.1%
-6.94 1
 
< 0.1%
-6.93 2
< 0.1%
-6.92 2
< 0.1%
-6.87 1
 
< 0.1%
-6.72 2
< 0.1%
ValueCountFrequency (%)
0.82 1
 
< 0.1%
0.81 4
< 0.1%
0.73 5
< 0.1%
0.71 2
 
< 0.1%
0.66 4
< 0.1%
0.6 2
 
< 0.1%
0.51948052 2
 
< 0.1%
0.51 1
 
< 0.1%
0.44 1
 
< 0.1%
0.438441558 1
 
< 0.1%

HeavyAtomMolWt
Real number (ℝ)

Distinct860
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean274.95021
Minimum0
Maximum2035.133
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:22.285355image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80.042
Q1136.109
median194.2765
Q3326.002
95-th percentile811.295
Maximum2035.133
Range2035.133
Interquartile range (IQR)189.893

Descriptive statistics

Standard deviation212.67875
Coefficient of variation (CV)0.77351734
Kurtosis2.6470605
Mean274.95021
Median Absolute Deviation (MAD)75.2845
Skewness1.7041136
Sum4079711.2
Variance45232.253
MonotonicityNot monotonic
2023-07-07T23:30:22.457189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
168.06 610
 
4.1%
247.031 380
 
2.6%
140.05 311
 
2.1%
184.059 279
 
1.9%
84.03 275
 
1.9%
320.121 245
 
1.7%
152.061 220
 
1.5%
160.084 164
 
1.1%
136.109 161
 
1.1%
124.051 152
 
1.0%
Other values (850) 12041
81.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
12.018 1
 
< 0.1%
14.007 31
0.2%
15.999 9
 
0.1%
17.018 1
 
< 0.1%
26.018 32
0.2%
28.01 37
0.2%
28.014 6
 
< 0.1%
30.006 4
 
< 0.1%
31.998 4
 
< 0.1%
ValueCountFrequency (%)
2035.133 1
 
< 0.1%
1274.687 2
 
< 0.1%
1240.666 1
 
< 0.1%
1210.606 1
 
< 0.1%
1135.545 2
 
< 0.1%
1128.434 4
 
< 0.1%
1119.546 12
0.1%
1105.632 1
 
< 0.1%
1084.425 6
< 0.1%
1083.513 3
 
< 0.1%

Kappa3
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct2245
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8743722
Minimum-104.04
Maximum1512.2422
Zeros2
Zeros (%)< 0.1%
Negative174
Negative (%)1.2%
Memory size747.9 KiB
2023-07-07T23:30:22.629024image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-104.04
5-th percentile0.97937573
Q11.7840076
median3.2610111
Q35.8484004
95-th percentile14.484067
Maximum1512.2422
Range1616.2822
Interquartile range (IQR)4.0643928

Descriptive statistics

Standard deviation45.730226
Coefficient of variation (CV)7.7847002
Kurtosis764.70478
Mean5.8743722
Median Absolute Deviation (MAD)1.7401663
Skewness26.419611
Sum87163.935
Variance2091.2536
MonotonicityNot monotonic
2023-07-07T23:30:22.769615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.3506213 227
 
1.5%
3.453383332 222
 
1.5%
3.848565935 213
 
1.4%
5.43 202
 
1.4%
1.47 197
 
1.3%
3.479710145 180
 
1.2%
1.581758759 179
 
1.2%
6.724301321 171
 
1.2%
3.43 169
 
1.1%
2.132115028 162
 
1.1%
Other values (2235) 12916
87.0%
ValueCountFrequency (%)
-104.04 64
0.4%
-27.04 39
0.3%
-14.58 35
0.2%
-6.470784314 1
 
< 0.1%
-5.58 1
 
< 0.1%
-5.36030303 2
 
< 0.1%
-4.470784314 31
0.2%
-2.56 1
 
< 0.1%
0 2
 
< 0.1%
0.003402778 6
 
< 0.1%
ValueCountFrequency (%)
1512.242231 7
< 0.1%
1128.96 5
< 0.1%
1128.9 1
 
< 0.1%
852.5944444 4
< 0.1%
852.2733782 1
 
< 0.1%
800.7694083 4
< 0.1%
321.8694675 3
< 0.1%
134.3915191 1
 
< 0.1%
59.14606633 2
 
< 0.1%
50.38606908 1
 
< 0.1%

MaxAbsEStateIndex
Real number (ℝ)

Distinct2356
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.556443
Minimum0
Maximum15.630251
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:22.941448image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.5833333
Q19.9261897
median10.421334
Q311.539743
95-th percentile12.68662
Maximum15.630251
Range15.630251
Interquartile range (IQR)1.6135531

Descriptive statistics

Standard deviation1.5593309
Coefficient of variation (CV)0.14771366
Kurtosis7.6976821
Mean10.556443
Median Absolute Deviation (MAD)0.74983612
Skewness-1.6987347
Sum156636.5
Variance2.4315127
MonotonicityNot monotonic
2023-07-07T23:30:23.082043image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.74091167 234
 
1.6%
9.119537037 186
 
1.3%
9.636574074 175
 
1.2%
10.36860654 160
 
1.1%
10.09087065 153
 
1.0%
10.24579208 130
 
0.9%
12.6421127 129
 
0.9%
10.03932634 103
 
0.7%
12.64438027 102
 
0.7%
10.50269747 99
 
0.7%
Other values (2346) 13367
90.1%
ValueCountFrequency (%)
0 24
0.2%
0.25 1
 
< 0.1%
0.444444444 1
 
< 0.1%
1 2
 
< 0.1%
1.909054049 1
 
< 0.1%
2 5
 
< 0.1%
2.041666667 5
 
< 0.1%
2.0425 1
 
< 0.1%
2.078703704 1
 
< 0.1%
2.083333333 4
 
< 0.1%
ValueCountFrequency (%)
15.63025112 1
 
< 0.1%
14.76985872 1
 
< 0.1%
14.6325105 1
 
< 0.1%
14.62684059 1
 
< 0.1%
14.5035702 1
 
< 0.1%
14.48263812 1
 
< 0.1%
14.44595558 3
< 0.1%
14.37427386 1
 
< 0.1%
14.27215372 1
 
< 0.1%
14.23108292 1
 
< 0.1%

MinEStateIndex
Real number (ℝ)

Distinct2142
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.1197723
Minimum-6.3275142
Maximum6
Zeros27
Zeros (%)0.2%
Negative13252
Negative (%)89.3%
Memory size747.9 KiB
2023-07-07T23:30:23.253877image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-6.3275142
5-th percentile-5.5785877
Q1-4.6596044
median-1.2653704
Q3-0.78703704
95-th percentile0.23718761
Maximum6
Range12.327514
Interquartile range (IQR)3.8725673

Descriptive statistics

Standard deviation2.0664147
Coefficient of variation (CV)-0.97482865
Kurtosis-0.99849014
Mean-2.1197723
Median Absolute Deviation (MAD)0.87763889
Skewness-0.61140522
Sum-31453.181
Variance4.2700699
MonotonicityNot monotonic
2023-07-07T23:30:23.410091image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.730487804 194
 
1.3%
-1.568935185 171
 
1.2%
-0.933313492 155
 
1.0%
-0.851851852 130
 
0.9%
-1.002013889 120
 
0.8%
-1.739073654 115
 
0.8%
-5.066255336 114
 
0.8%
-4.914178634 112
 
0.8%
-5.444269153 104
 
0.7%
-1.669305556 101
 
0.7%
Other values (2132) 13522
91.1%
ValueCountFrequency (%)
-6.327514191 1
 
< 0.1%
-6.238744236 1
 
< 0.1%
-6.219218645 1
 
< 0.1%
-6.117074797 3
 
< 0.1%
-5.969309261 8
0.1%
-5.948868653 3
 
< 0.1%
-5.948253428 2
 
< 0.1%
-5.915938966 2
 
< 0.1%
-5.914298935 1
 
< 0.1%
-5.912862954 1
 
< 0.1%
ValueCountFrequency (%)
6 2
 
< 0.1%
4.75 7
< 0.1%
4 2
 
< 0.1%
3.777777778 1
 
< 0.1%
3.527777778 1
 
< 0.1%
3.5 8
0.1%
3.222555556 1
 
< 0.1%
2.875 1
 
< 0.1%
2.5 1
 
< 0.1%
2.014625 1
 
< 0.1%

NumHeteroatoms
Real number (ℝ)

Distinct40
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5841084
Minimum0
Maximum42
Zeros41
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:23.566302image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q310
95-th percentile28
Maximum42
Range42
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.6437694
Coefficient of variation (CV)0.89045584
Kurtosis1.4982126
Mean8.5841084
Median Absolute Deviation (MAD)3
Skewness1.5648727
Sum127371
Variance58.427211
MonotonicityNot monotonic
2023-07-07T23:30:23.706923image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
4 2369
16.0%
3 1889
12.7%
5 1490
10.0%
6 1241
 
8.4%
2 1114
 
7.5%
10 717
 
4.8%
7 711
 
4.8%
9 637
 
4.3%
8 526
 
3.5%
28 510
 
3.4%
Other values (30) 3634
24.5%
ValueCountFrequency (%)
0 41
 
0.3%
1 491
 
3.3%
2 1114
7.5%
3 1889
12.7%
4 2369
16.0%
5 1490
10.0%
6 1241
8.4%
7 711
 
4.8%
8 526
 
3.5%
9 637
 
4.3%
ValueCountFrequency (%)
42 1
 
< 0.1%
39 1
 
< 0.1%
37 1
 
< 0.1%
36 3
 
< 0.1%
35 2
 
< 0.1%
34 3
 
< 0.1%
33 6
 
< 0.1%
32 9
 
0.1%
31 29
 
0.2%
30 169
1.1%

PEOE_VSA10
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct250
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.021644
Minimum0
Maximum97.663462
Zeros6205
Zeros (%)41.8%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:23.847517image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.0418408
Q318.311899
95-th percentile36.623798
Maximum97.663462
Range97.663462
Interquartile range (IQR)18.311899

Descriptive statistics

Standard deviation13.958962
Coefficient of variation (CV)1.2665046
Kurtosis1.4032352
Mean11.021644
Median Absolute Deviation (MAD)6.0418408
Skewness1.3545074
Sum163539.15
Variance194.85262
MonotonicityNot monotonic
2023-07-07T23:30:24.003701image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6205
41.8%
6.041840829 1339
 
9.0%
36.25988634 959
 
6.5%
5.749511833 720
 
4.9%
18.31189916 706
 
4.8%
24.41586555 608
 
4.1%
12.20793278 445
 
3.0%
6.103966388 439
 
3.0%
6.286160523 226
 
1.5%
36.62379833 213
 
1.4%
Other values (240) 2978
20.1%
ValueCountFrequency (%)
0 6205
41.8%
4.392859875 1
 
< 0.1%
5.11527693 1
 
< 0.1%
5.401253297 4
 
< 0.1%
5.414990469 2
 
< 0.1%
5.516700718 15
 
0.1%
5.538925252 3
 
< 0.1%
5.55923663 1
 
< 0.1%
5.559266895 1
 
< 0.1%
5.563451492 10
 
0.1%
ValueCountFrequency (%)
97.6634622 2
 
< 0.1%
96.05399561 1
 
< 0.1%
85.39340387 1
 
< 0.1%
85.33127831 3
 
< 0.1%
85.02065052 1
 
< 0.1%
80.86030977 3
 
< 0.1%
78.97880969 2
 
< 0.1%
73.75051223 5
< 0.1%
73.24759665 8
0.1%
73.14361574 1
 
< 0.1%

PEOE_VSA14
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct291
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.790011
Minimum0
Maximum482.43422
Zeros4181
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:24.159915image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.9693053
Q315.645394
95-th percentile91.536492
Maximum482.43422
Range482.43422
Interquartile range (IQR)15.645394

Descriptive statistics

Standard deviation34.561655
Coefficient of variation (CV)1.9427563
Kurtosis30.271897
Mean17.790011
Median Absolute Deviation (MAD)5.9693053
Skewness4.5297307
Sum263968.18
Variance1194.508
MonotonicityNot monotonic
2023-07-07T23:30:24.331750image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4181
28.2%
5.969305288 3635
24.5%
11.93861058 1089
 
7.3%
23.46809137 1031
 
6.9%
7.822697123 984
 
6.6%
21.33513764 598
 
4.0%
15.64539425 541
 
3.6%
13.79200241 291
 
2.0%
29.43739666 109
 
0.7%
62.79260201 99
 
0.7%
Other values (281) 2280
15.4%
ValueCountFrequency (%)
0 4181
28.2%
1.426638065 3
 
< 0.1%
5.476191836 6
 
< 0.1%
5.625586319 6
 
< 0.1%
5.689743398 84
 
0.6%
5.907179729 1
 
< 0.1%
5.969305288 3635
24.5%
6.031114512 13
 
0.1%
6.093240071 2
 
< 0.1%
6.103966388 2
 
< 0.1%
ValueCountFrequency (%)
482.4342227 3
< 0.1%
419.2623718 5
< 0.1%
381.8872165 1
 
< 0.1%
381.4812714 3
< 0.1%
368.7914439 3
< 0.1%
358.3913725 1
 
< 0.1%
351.996345 2
 
< 0.1%
288.84135 7
< 0.1%
263.5493673 1
 
< 0.1%
251.7528829 4
< 0.1%

PEOE_VSA6
Real number (ℝ)

Distinct219
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9624402
Minimum0
Maximum375.42515
Zeros9985
Zeros (%)67.3%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:24.472342image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312.132734
95-th percentile45.448667
Maximum375.42515
Range375.42515
Interquartile range (IQR)12.132734

Descriptive statistics

Standard deviation19.756727
Coefficient of variation (CV)2.2043915
Kurtosis35.84755
Mean8.9624402
Median Absolute Deviation (MAD)0
Skewness4.4155313
Sum132984.69
Variance390.32826
MonotonicityNot monotonic
2023-07-07T23:30:24.644173image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9985
67.3%
12.13273414 679
 
4.6%
6.066367069 452
 
3.0%
25.60935935 413
 
2.8%
18.19910121 408
 
2.7%
30.33183534 269
 
1.8%
13.8474744 262
 
1.8%
45.44866694 222
 
1.5%
6.9237372 201
 
1.4%
20.7712116 102
 
0.7%
Other values (209) 1845
 
12.4%
ValueCountFrequency (%)
0 9985
67.3%
1.578935684 1
 
< 0.1%
4.983978521 2
 
< 0.1%
5.155712727 1
 
< 0.1%
5.563451492 3
 
< 0.1%
5.57310453 2
 
< 0.1%
5.917906046 2
 
< 0.1%
6.066367069 452
 
3.0%
6.076020107 57
 
0.4%
6.08368165 1
 
< 0.1%
ValueCountFrequency (%)
375.4251476 2
 
< 0.1%
336.3973023 1
 
< 0.1%
258.8445272 1
 
< 0.1%
153.9531982 1
 
< 0.1%
150.0755278 5
 
< 0.1%
146.1978575 14
0.1%
142.3040735 13
0.1%
141.8011579 8
0.1%
135.2662425 7
< 0.1%
134.8856594 1
 
< 0.1%

PEOE_VSA7
Real number (ℝ)

Distinct262
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.318811
Minimum0
Maximum211.50128
Zeros7485
Zeros (%)50.4%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:24.800416image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313.847474
95-th percentile51.366573
Maximum211.50128
Range211.50128
Interquartile range (IQR)13.847474

Descriptive statistics

Standard deviation20.169745
Coefficient of variation (CV)1.7819667
Kurtosis11.99718
Mean11.318811
Median Absolute Deviation (MAD)0
Skewness3.1046309
Sum167948.52
Variance406.8186
MonotonicityNot monotonic
2023-07-07T23:30:24.940979image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7485
50.4%
6.420821623 934
 
6.3%
6.9237372 773
 
5.2%
12.13273414 735
 
5.0%
17.69618563 465
 
3.1%
12.84164325 317
 
2.1%
19.38639965 284
 
1.9%
24.26546827 245
 
1.7%
13.8474744 235
 
1.6%
23.77220574 214
 
1.4%
Other values (252) 3151
21.2%
ValueCountFrequency (%)
0 7485
50.4%
4.917906046 1
 
< 0.1%
5.563451492 142
 
1.0%
5.907179729 1
 
< 0.1%
5.917906046 37
 
0.2%
5.917972929 1
 
< 0.1%
5.959554569 1
 
< 0.1%
6.066367069 182
 
1.2%
6.076020107 60
 
0.4%
6.093244946 1
 
< 0.1%
ValueCountFrequency (%)
211.5012789 5
< 0.1%
146.1978575 1
 
< 0.1%
130.3110139 1
 
< 0.1%
130.0357101 1
 
< 0.1%
129.5327945 1
 
< 0.1%
123.8901923 3
< 0.1%
123.7058618 1
 
< 0.1%
123.2725974 6
< 0.1%
122.8996082 2
 
< 0.1%
122.5894549 4
< 0.1%

PEOE_VSA8
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct237
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7044868
Minimum0
Maximum100.34842
Zeros8473
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:25.112814image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36.9237372
95-th percentile37.099
Maximum100.34842
Range100.34842
Interquartile range (IQR)6.9237372

Descriptive statistics

Standard deviation10.865415
Coefficient of variation (CV)1.6206184
Kurtosis4.569683
Mean6.7044868
Median Absolute Deviation (MAD)0
Skewness2.0415388
Sum99481.174
Variance118.05724
MonotonicityNot monotonic
2023-07-07T23:30:25.269029image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8473
57.1%
6.420821623 1398
 
9.4%
37.09900013 682
 
4.6%
6.544756406 347
 
2.3%
30.67817851 297
 
2.0%
12.26321064 228
 
1.5%
6.076020107 195
 
1.3%
18.18111669 167
 
1.1%
11.83581209 159
 
1.1%
6.9237372 158
 
1.1%
Other values (227) 2734
 
18.4%
ValueCountFrequency (%)
0 8473
57.1%
4.473725908 1
 
< 0.1%
4.482372554 3
 
< 0.1%
4.794537184 1
 
< 0.1%
5.022633314 5
 
< 0.1%
5.076020107 1
 
< 0.1%
5.165775612 1
 
< 0.1%
5.414990469 68
 
0.5%
5.535201929 6
 
< 0.1%
5.563451492 119
 
0.8%
ValueCountFrequency (%)
100.3484161 3
 
< 0.1%
89.42316187 1
 
< 0.1%
87.33070199 2
 
< 0.1%
77.86900317 1
 
< 0.1%
73.11746337 1
 
< 0.1%
67.14363027 1
 
< 0.1%
63.59715962 5
 
< 0.1%
57.19101834 1
 
< 0.1%
57.176338 13
0.1%
54.44899533 1
 
< 0.1%

SMR_VSA10
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct409
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.666766
Minimum0
Maximum80.742293
Zeros2406
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:25.425240image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.9693053
median11.75255
Q317.721856
95-th percentile69.141353
Maximum80.742293
Range80.742293
Interquartile range (IQR)11.75255

Descriptive statistics

Standard deviation18.080208
Coefficient of variation (CV)1.1540485
Kurtosis3.8705268
Mean15.666766
Median Absolute Deviation (MAD)5.7832449
Skewness2.1252235
Sum232463.47
Variance326.89391
MonotonicityNot monotonic
2023-07-07T23:30:25.581456image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2406
16.2%
5.969305288 2075
 
14.0%
69.14135342 859
 
5.8%
7.822697123 777
 
5.2%
11.93861058 685
 
4.6%
11.75255023 656
 
4.4%
15.64539425 635
 
4.3%
17.74406608 415
 
2.8%
5.783244946 344
 
2.3%
11.87648502 324
 
2.2%
Other values (399) 5662
38.2%
ValueCountFrequency (%)
0 2406
16.2%
4.794537184 1
 
< 0.1%
5.428790392 2
 
< 0.1%
5.601050811 9
 
0.1%
5.67927504 1
 
< 0.1%
5.687386275 81
 
0.5%
5.689743398 3
 
< 0.1%
5.736862954 1
 
< 0.1%
5.749511833 4
 
< 0.1%
5.77729186 1
 
< 0.1%
ValueCountFrequency (%)
80.74229331 4
 
< 0.1%
79.92066744 6
 
< 0.1%
78.62793897 3
 
< 0.1%
77.34141167 2
 
< 0.1%
77.33140427 1
 
< 0.1%
75.52917939 2
 
< 0.1%
75.21737353 26
 
0.2%
75.13500784 1
 
< 0.1%
75.11065871 125
0.8%
74.92459837 59
0.4%

SMR_VSA5
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct492
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.066423
Minimum0
Maximum492.72974
Zeros2239
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:25.737669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.4208216
median20.075376
Q342.727765
95-th percentile98.166061
Maximum492.72974
Range492.72974
Interquartile range (IQR)36.306943

Descriptive statistics

Standard deviation33.896638
Coefficient of variation (CV)1.0911021
Kurtosis12.435137
Mean31.066423
Median Absolute Deviation (MAD)13.971409
Skewness2.3685616
Sum460963.58
Variance1148.9821
MonotonicityNot monotonic
2023-07-07T23:30:25.893882image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2239
 
15.1%
6.420821623 738
 
5.0%
6.103966388 733
 
4.9%
12.46266245 583
 
3.9%
18.88348408 577
 
3.9%
24.53980033 522
 
3.5%
24.41586555 401
 
2.7%
30.70589228 364
 
2.5%
25.3043057 326
 
2.2%
24.85665557 263
 
1.8%
Other values (482) 8092
54.5%
ValueCountFrequency (%)
0 2239
15.1%
1.619047619 1
 
< 0.1%
4.794537184 1
 
< 0.1%
5.601050811 1
 
< 0.1%
5.749511833 1
 
< 0.1%
5.907179729 1
 
< 0.1%
6.041840829 95
 
0.6%
6.076020107 1
 
< 0.1%
6.103966388 733
 
4.9%
6.118315233 1
 
< 0.1%
ValueCountFrequency (%)
492.7297391 3
 
< 0.1%
395.9144992 1
 
< 0.1%
395.7998601 1
 
< 0.1%
275.4939653 1
 
< 0.1%
249.0687828 3
 
< 0.1%
244.6880687 5
< 0.1%
225.8045847 10
0.1%
222.4970499 3
 
< 0.1%
211.5012789 2
 
< 0.1%
195.0986924 3
 
< 0.1%

SlogP_VSA3
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct217
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.636941
Minimum0
Maximum115.40616
Zeros2595
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:26.050123image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.7945372
median9.5890744
Q314.912664
95-th percentile50.697492
Maximum115.40616
Range115.40616
Interquartile range (IQR)10.118127

Descriptive statistics

Standard deviation14.598554
Coefficient of variation (CV)1.0705153
Kurtosis2.1769964
Mean13.636941
Median Absolute Deviation (MAD)4.7945372
Skewness1.6132832
Sum202344.94
Variance213.11777
MonotonicityNot monotonic
2023-07-07T23:30:26.206310image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.794537184 2688
18.1%
0 2595
17.5%
9.589074368 1810
12.2%
50.69749222 798
 
5.4%
13.8256584 776
 
5.2%
4.736862954 754
 
5.1%
11.21535881 450
 
3.0%
14.38361155 413
 
2.8%
31.96194817 366
 
2.5%
6.420821623 287
 
1.9%
Other values (207) 3901
26.3%
ValueCountFrequency (%)
0 2595
17.5%
1 1
 
< 0.1%
4.536585366 1
 
< 0.1%
4.565048285 13
 
0.1%
4.736862954 754
 
5.1%
4.784537184 1
 
< 0.1%
4.794537184 2688
18.1%
5.106527395 3
 
< 0.1%
5.749511833 1
 
< 0.1%
5.969305288 1
 
< 0.1%
ValueCountFrequency (%)
115.4061569 3
< 0.1%
99.87784164 1
 
< 0.1%
91.59990048 1
 
< 0.1%
84.58650873 2
< 0.1%
84.58411093 2
< 0.1%
79.84964578 1
 
< 0.1%
74.28515278 1
 
< 0.1%
70.57145454 4
< 0.1%
70.46040559 3
< 0.1%
68.78750031 3
< 0.1%

VSA_EState9
Real number (ℝ)

Distinct1946
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.309959
Minimum-5.4305556
Maximum384.45052
Zeros63
Zeros (%)0.4%
Negative4
Negative (%)< 0.1%
Memory size747.9 KiB
2023-07-07T23:30:26.378142image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-5.4305556
5-th percentile18.166667
Q130
median41.666667
Q356.09065
95-th percentile111.11681
Maximum384.45052
Range389.88107
Interquartile range (IQR)26.09065

Descriptive statistics

Standard deviation29.174824
Coefficient of variation (CV)0.5916619
Kurtosis5.5850067
Mean49.309959
Median Absolute Deviation (MAD)12.666667
Skewness1.6962808
Sum731661.18
Variance851.17038
MonotonicityNot monotonic
2023-07-07T23:30:26.534358image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.66666667 254
 
1.7%
33.16666667 234
 
1.6%
37.66666667 211
 
1.4%
30 201
 
1.4%
39.66666667 187
 
1.3%
21.66666667 180
 
1.2%
39.16666667 138
 
0.9%
29.33333333 132
 
0.9%
44.33333333 131
 
0.9%
44.5 117
 
0.8%
Other values (1936) 13053
88.0%
ValueCountFrequency (%)
-5.430555556 1
 
< 0.1%
-4.666666667 1
 
< 0.1%
-4.266666667 1
 
< 0.1%
-1.41435185 1
 
< 0.1%
0 63
0.4%
0.319444444 1
 
< 0.1%
1 1
 
< 0.1%
1.694444444 2
 
< 0.1%
2 1
 
< 0.1%
2.097222222 1
 
< 0.1%
ValueCountFrequency (%)
384.4505191 2
< 0.1%
286.4776314 3
< 0.1%
286.244275 1
 
< 0.1%
256.8333658 1
 
< 0.1%
256.8333617 1
 
< 0.1%
223.6294999 2
< 0.1%
218.1666667 1
 
< 0.1%
206.5657186 4
< 0.1%
200.1146282 3
< 0.1%
198.2399146 3
< 0.1%

fr_COO
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45821539
Minimum0
Maximum8
Zeros9325
Zeros (%)62.8%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:26.689139image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.66794794
Coefficient of variation (CV)1.4577161
Kurtosis5.5307556
Mean0.45821539
Median Absolute Deviation (MAD)0
Skewness1.6186289
Sum6799
Variance0.44615445
MonotonicityNot monotonic
2023-07-07T23:30:26.792858image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 9325
62.8%
1 4332
29.2%
2 1107
 
7.5%
3 64
 
0.4%
8 4
 
< 0.1%
5 3
 
< 0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 9325
62.8%
1 4332
29.2%
2 1107
 
7.5%
3 64
 
0.4%
4 2
 
< 0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
8 4
 
< 0.1%
ValueCountFrequency (%)
8 4
 
< 0.1%
6 1
 
< 0.1%
5 3
 
< 0.1%
4 2
 
< 0.1%
3 64
 
0.4%
2 1107
 
7.5%
1 4332
29.2%
0 9325
62.8%

fr_COO2
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45922631
Minimum0
Maximum8
Zeros9311
Zeros (%)62.8%
Negative0
Negative (%)0.0%
Memory size747.9 KiB
2023-07-07T23:30:26.902205image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6681113
Coefficient of variation (CV)1.4548629
Kurtosis5.5147088
Mean0.45922631
Median Absolute Deviation (MAD)0
Skewness1.614502
Sum6814
Variance0.44637271
MonotonicityNot monotonic
2023-07-07T23:30:27.011556image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 9311
62.8%
1 4345
29.3%
2 1108
 
7.5%
3 64
 
0.4%
8 4
 
< 0.1%
5 3
 
< 0.1%
4 2
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
0 9311
62.8%
1 4345
29.3%
2 1108
 
7.5%
3 64
 
0.4%
4 2
 
< 0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
8 4
 
< 0.1%
ValueCountFrequency (%)
8 4
 
< 0.1%
6 1
 
< 0.1%
5 3
 
< 0.1%
4 2
 
< 0.1%
3 64
 
0.4%
2 1108
 
7.5%
1 4345
29.3%
0 9311
62.8%

EC1
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size747.9 KiB
1
9908 
0
4930 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters14838
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 9908
66.8%
0 4930
33.2%

Length

2023-07-07T23:30:27.136524image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-07T23:30:27.245876image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9908
66.8%
0 4930
33.2%

Most occurring characters

ValueCountFrequency (%)
1 9908
66.8%
0 4930
33.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14838
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9908
66.8%
0 4930
33.2%

Most occurring scripts

ValueCountFrequency (%)
Common 14838
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 9908
66.8%
0 4930
33.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 9908
66.8%
0 4930
33.2%

EC2
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size747.9 KiB
1
11855 
0
2983 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters14838
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1 11855
79.9%
0 2983
 
20.1%

Length

2023-07-07T23:30:27.370847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-07T23:30:27.495819image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
1 11855
79.9%
0 2983
 
20.1%

Most occurring characters

ValueCountFrequency (%)
1 11855
79.9%
0 2983
 
20.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14838
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 11855
79.9%
0 2983
 
20.1%

Most occurring scripts

ValueCountFrequency (%)
Common 14838
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 11855
79.9%
0 2983
 
20.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 11855
79.9%
0 2983
 
20.1%

EC3
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size747.9 KiB
0
10182 
1
4656 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters14838
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 10182
68.6%
1 4656
31.4%

Length

2023-07-07T23:30:27.605167image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-07T23:30:27.730135image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10182
68.6%
1 4656
31.4%

Most occurring characters

ValueCountFrequency (%)
0 10182
68.6%
1 4656
31.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14838
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10182
68.6%
1 4656
31.4%

Most occurring scripts

ValueCountFrequency (%)
Common 14838
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10182
68.6%
1 4656
31.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10182
68.6%
1 4656
31.4%

EC4
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size747.9 KiB
0
10697 
1
4141 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters14838
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 10697
72.1%
1 4141
 
27.9%

Length

2023-07-07T23:30:27.839487image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-07T23:30:27.948835image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10697
72.1%
1 4141
 
27.9%

Most occurring characters

ValueCountFrequency (%)
0 10697
72.1%
1 4141
 
27.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14838
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10697
72.1%
1 4141
 
27.9%

Most occurring scripts

ValueCountFrequency (%)
Common 14838
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10697
72.1%
1 4141
 
27.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10697
72.1%
1 4141
 
27.9%

EC5
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size747.9 KiB
0
12689 
1
2149 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters14838
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 12689
85.5%
1 2149
 
14.5%

Length

2023-07-07T23:30:28.058186image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-07T23:30:28.183156image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
0 12689
85.5%
1 2149
 
14.5%

Most occurring characters

ValueCountFrequency (%)
0 12689
85.5%
1 2149
 
14.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14838
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12689
85.5%
1 2149
 
14.5%

Most occurring scripts

ValueCountFrequency (%)
Common 14838
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12689
85.5%
1 2149
 
14.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12689
85.5%
1 2149
 
14.5%

EC6
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size747.9 KiB
0
12589 
1
2249 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters14838
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 12589
84.8%
1 2249
 
15.2%

Length

2023-07-07T23:30:28.323746image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-07T23:30:28.573690image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
0 12589
84.8%
1 2249
 
15.2%

Most occurring characters

ValueCountFrequency (%)
0 12589
84.8%
1 2249
 
15.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14838
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12589
84.8%
1 2249
 
15.2%

Most occurring scripts

ValueCountFrequency (%)
Common 14838
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12589
84.8%
1 2249
 
15.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12589
84.8%
1 2249
 
15.2%

Interactions

2023-07-07T23:30:11.782048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:31.652199image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:39.550060image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:44.351241image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:51.005462image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:56.790920image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:03.898269image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:09.565051image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:13.736063image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:20.479701image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:26.975651image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:32.945390image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:37.989319image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:43.310529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:48.140474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:52.911488image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:57.524923image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:02.292884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:07.641404image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:12.879374image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:17.498655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:22.032454image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:26.556216image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:32.978415image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:38.011457image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:43.422080image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:48.253074image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:53.226412image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:57.655787image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:02.029727image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
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2023-07-07T23:29:21.288880image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:25.827572image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:31.406856image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:37.220861image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:42.649409image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:47.383438image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:52.387870image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:56.952796image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:01.326769image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:06.658225image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:11.063430image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:15.515509image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:36.201449image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:43.534164image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:49.726791image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:55.736740image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:02.836896image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:08.970258image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:13.175916image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:19.863450image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:25.545474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:32.345380image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:37.413816image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:42.191036image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:47.507885image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:52.285176image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:56.886777image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:01.660995image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:06.990675image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:12.268972image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:16.891145image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:21.425195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:25.961236image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:32.336334image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:37.388275image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:42.797571image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:47.616903image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:52.552044image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:57.077794image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:01.451740image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:06.814424image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:11.188398image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:15.671722image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:36.365112image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:43.684873image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:50.014025image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:55.990063image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:03.083237image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:09.113757image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:13.300916image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:20.013205image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:25.837692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:32.489600image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:37.550745image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:42.340348image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:47.667368image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:52.438627image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:57.024369image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:01.811257image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:07.146844image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:12.419709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:17.043292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:21.584279image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:26.114461image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:32.463676image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:37.544101image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:42.949182image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:47.757494image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:52.687685image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:57.218356image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:01.592330image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:06.955016image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:11.344615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:15.812314image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:36.520391image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:43.853830image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:50.699191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:56.221473image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:03.401388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:09.257595image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:13.441475image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:20.156472image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:26.185770image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:32.650100image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:37.702339image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:42.489313image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:47.843105image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:52.600948image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:57.176093image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:01.968436image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:07.313357image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:12.576291image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:17.189901image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:21.734567image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:26.264605image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:32.619895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:37.709117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:43.107311image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:47.917249image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:52.891715image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:57.374572image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:01.748544image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:07.095608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:11.485204image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:15.968527image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:39.365692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:43.982990image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:50.865747image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:27:56.439859image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:03.677650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:09.399683image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:13.566449image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:20.323876image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:26.568740image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:32.812270image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:37.850634image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:43.152001image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:47.990943image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:52.754903image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:28:57.378351image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:02.123025image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:07.490580image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:12.730350image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:17.348521image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:21.890635image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:26.404178image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:32.825315image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:37.857318image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:43.265424image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:48.081880image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:53.062815image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:29:57.515161image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:01.889136image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:07.251824image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2023-07-07T23:30:11.625799image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2023-07-07T23:30:28.762481image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
BertzCTChi1Chi1nChi1vChi2nChi2vChi3vChi4nEState_VSA1EState_VSA2ExactMolWtFpDensityMorgan1FpDensityMorgan2FpDensityMorgan3HallKierAlphaHeavyAtomMolWtKappa3MaxAbsEStateIndexMinEStateIndexNumHeteroatomsPEOE_VSA10PEOE_VSA14PEOE_VSA6PEOE_VSA7PEOE_VSA8SMR_VSA10SMR_VSA5SlogP_VSA3VSA_EState9fr_COOfr_COO2EC1EC2EC3EC4EC5EC6
BertzCT1.0000.9300.9180.9140.9140.9110.9150.9010.5210.4440.920-0.592-0.3860.126-0.5740.9190.5250.772-0.4790.6470.5040.3040.3480.2000.4370.4480.6650.5640.839-0.276-0.2790.1350.0430.1100.1490.0600.048
Chi10.9301.0000.9710.9680.9630.9610.9620.9430.5760.4300.965-0.627-0.4220.105-0.4940.9640.5880.806-0.5210.6990.5260.3520.3260.1550.4100.4600.7570.6060.885-0.293-0.2960.1950.0520.1480.1660.0620.052
Chi1n0.9180.9711.0000.9780.9800.9630.9690.9590.5270.4380.952-0.629-0.4190.111-0.4940.9490.5660.785-0.4670.6460.5080.3020.3650.1990.4220.4150.7670.5590.868-0.293-0.2960.1500.0590.1270.1590.0490.047
Chi1v0.9140.9680.9781.0000.9630.9800.9700.9400.5710.4140.963-0.623-0.4200.103-0.4470.9620.6140.798-0.5320.6970.5170.3640.3280.1440.3970.4650.7640.6110.857-0.326-0.3290.1990.0590.1590.1620.0670.055
Chi2n0.9140.9630.9800.9631.0000.9760.9730.9620.5210.4330.947-0.629-0.4200.107-0.4880.9440.5580.779-0.4610.6370.5050.2930.3670.2000.4180.4040.7640.5520.862-0.294-0.2980.1750.0550.1360.1630.0580.048
Chi2v0.9110.9610.9630.9800.9761.0000.9750.9420.5670.4100.959-0.624-0.4210.098-0.4420.9580.6060.793-0.5280.6910.5160.3590.3280.1450.3950.4590.7610.6070.852-0.329-0.3320.2070.0690.1600.1630.0620.059
Chi3v0.9150.9620.9690.9700.9730.9751.0000.9620.5400.4220.953-0.630-0.4210.108-0.4660.9510.5720.784-0.4910.6620.5140.3190.3480.1740.4070.4270.7630.5730.854-0.324-0.3270.1870.0640.1490.1650.0570.057
Chi4n0.9010.9430.9590.9400.9620.9420.9621.0000.4830.4280.925-0.624-0.4130.115-0.4860.9210.5150.752-0.4210.6000.4890.2540.3710.2180.4120.3680.7460.5120.841-0.305-0.3080.1270.0530.1170.1450.0320.047
EState_VSA10.5210.5760.5270.5710.5210.5670.5400.4831.0000.0930.604-0.349-0.281-0.030-0.2440.6100.5520.591-0.8650.8630.6050.591-0.108-0.2940.2020.5750.5250.7840.6790.0050.0030.2180.0330.1600.0950.1140.032
EState_VSA20.4440.4300.4380.4140.4330.4100.4220.4280.0931.0000.402-0.176-0.0560.198-0.4660.4000.2340.416-0.1180.2430.1980.1080.3320.2880.4460.2320.2720.2140.378-0.094-0.0960.0620.0510.0120.0690.0690.039
ExactMolWt0.9200.9650.9520.9630.9470.9590.9530.9250.6040.4021.000-0.624-0.4280.090-0.4610.9970.6100.800-0.5560.7240.5390.3750.2970.1190.3920.4790.7540.6270.878-0.297-0.3010.2090.0650.1570.1610.0630.052
FpDensityMorgan1-0.592-0.627-0.629-0.623-0.629-0.624-0.630-0.624-0.349-0.176-0.6241.0000.8430.4040.269-0.622-0.378-0.4540.304-0.409-0.322-0.156-0.242-0.097-0.184-0.214-0.513-0.325-0.5830.2530.2560.0000.0000.0000.0000.0010.000
FpDensityMorgan2-0.386-0.422-0.419-0.420-0.420-0.421-0.421-0.413-0.281-0.056-0.4280.8431.0000.6690.143-0.427-0.299-0.2820.247-0.293-0.232-0.124-0.157-0.016-0.090-0.147-0.367-0.235-0.4110.1890.1920.0000.0000.0000.0000.0010.000
FpDensityMorgan30.1260.1050.1110.1030.1070.0980.1080.115-0.0300.1980.0900.4040.6691.000-0.1500.089-0.0420.1370.0340.0420.0380.0070.0520.1160.1570.0640.0120.0310.054-0.006-0.0050.0000.0000.0000.0000.0010.000
HallKierAlpha-0.574-0.494-0.494-0.447-0.488-0.442-0.466-0.486-0.244-0.466-0.4610.2690.143-0.1501.000-0.461-0.201-0.4710.206-0.290-0.329-0.094-0.352-0.344-0.503-0.313-0.252-0.287-0.533-0.106-0.1040.0380.0340.0570.0730.0940.041
HeavyAtomMolWt0.9190.9640.9490.9620.9440.9580.9510.9210.6100.4000.997-0.622-0.4270.089-0.4611.0000.6130.801-0.5630.7300.5410.3820.2920.1140.3910.4860.7510.6340.879-0.296-0.2990.2070.0610.1530.1610.0650.055
Kappa30.5250.5880.5660.6140.5580.6060.5720.5150.5520.2340.610-0.378-0.299-0.042-0.2010.6131.0000.556-0.5780.6030.3640.5220.120-0.0590.2320.5350.5550.6220.555-0.109-0.1110.0120.0000.0180.0000.0000.000
MaxAbsEStateIndex0.7720.8060.7850.7980.7790.7930.7840.7520.5910.4160.800-0.454-0.2820.137-0.4710.8010.5561.000-0.5650.6900.4780.4730.2080.0720.4010.5850.6240.6430.761-0.117-0.1200.1690.0640.1230.1430.0790.054
MinEStateIndex-0.479-0.521-0.467-0.532-0.461-0.528-0.491-0.421-0.865-0.118-0.5560.3040.2470.0340.206-0.563-0.578-0.5651.000-0.816-0.528-0.6160.0790.262-0.189-0.612-0.443-0.777-0.5910.0070.0090.2530.0750.1730.1240.1120.080
NumHeteroatoms0.6470.6990.6460.6970.6370.6910.6620.6000.8630.2430.724-0.409-0.2930.042-0.2900.7300.6030.690-0.8161.0000.5880.620-0.080-0.2480.2630.6500.5630.7960.723-0.150-0.1520.3090.0640.2050.1000.1130.041
PEOE_VSA100.5040.5260.5080.5170.5050.5160.5140.4890.6050.1980.539-0.322-0.2320.038-0.3290.5410.3640.478-0.5280.5881.0000.1760.034-0.0640.3320.3460.4260.4880.579-0.118-0.1200.1860.0440.1190.1020.1200.036
PEOE_VSA140.3040.3520.3020.3640.2930.3590.3190.2540.5910.1080.375-0.156-0.1240.007-0.0940.3820.5220.473-0.6160.6200.1761.000-0.106-0.3230.0480.6910.3400.6590.3630.0830.0830.1140.0160.0960.0620.0200.000
PEOE_VSA60.3480.3260.3650.3280.3670.3280.3480.371-0.1080.3320.297-0.242-0.1570.052-0.3520.2920.1200.2080.079-0.0800.034-0.1061.0000.4530.280-0.0030.219-0.0040.235-0.134-0.1350.0410.0340.0000.0540.0320.019
PEOE_VSA70.2000.1550.1990.1440.2000.1450.1740.218-0.2940.2880.119-0.097-0.0160.116-0.3440.114-0.0590.0720.262-0.248-0.064-0.3230.4531.0000.283-0.1540.050-0.1840.0920.0530.0510.0680.0250.0500.0800.0610.031
PEOE_VSA80.4370.4100.4220.3970.4180.3950.4070.4120.2020.4460.392-0.184-0.0900.157-0.5030.3910.2320.401-0.1890.2630.3320.0480.2800.2831.0000.2650.2750.2770.400-0.017-0.0190.0520.0420.0170.0660.0540.016
SMR_VSA100.4480.4600.4150.4650.4040.4590.4270.3680.5750.2320.479-0.214-0.1470.064-0.3130.4860.5350.585-0.6120.6500.3460.691-0.003-0.1540.2651.0000.3340.6870.4710.0710.0700.1450.0450.1080.0920.0950.042
SMR_VSA50.6650.7570.7670.7640.7640.7610.7630.7460.5250.2720.754-0.513-0.3670.012-0.2520.7510.5550.624-0.4430.5630.4260.3400.2190.0500.2750.3341.0000.5330.717-0.199-0.2020.0550.0340.0600.1000.0000.038
SlogP_VSA30.5640.6060.5590.6110.5520.6070.5730.5120.7840.2140.627-0.325-0.2350.031-0.2870.6340.6220.643-0.7770.7960.4880.659-0.004-0.1840.2770.6870.5331.0000.6350.0050.0020.2710.0620.1850.0760.0750.036
VSA_EState90.8390.8850.8680.8570.8620.8520.8540.8410.6790.3780.878-0.583-0.4110.054-0.5330.8790.5550.761-0.5910.7230.5790.3630.2350.0920.4000.4710.7170.6351.000-0.107-0.1100.1600.0320.1010.0890.1080.031
fr_COO-0.276-0.293-0.293-0.326-0.294-0.329-0.324-0.3050.005-0.094-0.2970.2530.189-0.006-0.106-0.296-0.109-0.1170.007-0.150-0.1180.083-0.1340.053-0.0170.071-0.1990.005-0.1071.0000.9940.0850.0860.1000.2470.0270.133
fr_COO2-0.279-0.296-0.296-0.329-0.298-0.332-0.327-0.3080.003-0.096-0.3010.2560.192-0.005-0.104-0.299-0.111-0.1200.009-0.152-0.1200.083-0.1350.051-0.0190.070-0.2020.002-0.1100.9941.0000.0850.0840.0990.2470.0270.134
EC10.1350.1950.1500.1990.1750.2070.1870.1270.2180.0620.2090.0000.0000.0000.0380.2070.0120.1690.2530.3090.1860.1140.0410.0680.0520.1450.0550.2710.1600.0850.0851.0000.1460.3750.0910.1120.063
EC20.0430.0520.0590.0590.0550.0690.0640.0530.0330.0510.0650.0000.0000.0000.0340.0610.0000.0640.0750.0640.0440.0160.0340.0250.0420.0450.0340.0620.0320.0860.0840.1461.0000.1120.2060.0960.139
EC30.1100.1480.1270.1590.1360.1600.1490.1170.1600.0120.1570.0000.0000.0000.0570.1530.0180.1230.1730.2050.1190.0960.0000.0500.0170.1080.0600.1850.1010.1000.0990.3750.1121.0000.1790.1160.134
EC40.1490.1660.1590.1620.1630.1630.1650.1450.0950.0690.1610.0000.0000.0000.0730.1610.0000.1430.1240.1000.1020.0620.0540.0800.0660.0920.1000.0760.0890.2470.2470.0910.2060.1791.0000.0370.010
EC50.0600.0620.0490.0670.0580.0620.0570.0320.1140.0690.0630.0010.0010.0010.0940.0650.0000.0790.1120.1130.1200.0200.0320.0610.0540.0950.0000.0750.1080.0270.0270.1120.0960.1160.0371.0000.031
EC60.0480.0520.0470.0550.0480.0590.0570.0470.0320.0390.0520.0000.0000.0000.0410.0550.0000.0540.0800.0410.0360.0000.0190.0310.0160.0420.0380.0360.0310.1330.1340.0630.1390.1340.0100.0311.000

Missing values

2023-07-07T23:30:16.234119image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-07-07T23:30:17.124506image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

BertzCTChi1Chi1nChi1vChi2nChi2vChi3vChi4nEState_VSA1EState_VSA2ExactMolWtFpDensityMorgan1FpDensityMorgan2FpDensityMorgan3HallKierAlphaHeavyAtomMolWtKappa3MaxAbsEStateIndexMinEStateIndexNumHeteroatomsPEOE_VSA10PEOE_VSA14PEOE_VSA6PEOE_VSA7PEOE_VSA8SMR_VSA10SMR_VSA5SlogP_VSA3VSA_EState9fr_COOfr_COO2EC1EC2EC3EC4EC5EC6
id
0323.3907829.8799185.8755765.8755764.3047574.3047572.7545131.7492030.00000011.938294222.0680801.1818181.7272732.363636-0.24212.1638.17000011.9225040.17158540.00000091.5364920.0000000.0000000.00000017.7440660.0000004.79453735.52735700110000
1273.7237987.2590374.4414675.8349583.2850464.4852352.2013751.28977545.1354710.000000260.0297191.3461542.0769232.769231-0.09247.0313.20149110.932338-4.8304501024.4158667.8226970.0000000.0000000.0000007.82269730.70589213.82565844.70731000011000
2521.64382210.9113038.52785911.0508646.6652919.5197065.8248221.77057915.6453946.606882382.1310271.0857141.7428572.400000-0.78354.10615.03389011.238048-5.06625590.00000015.6453940.00000053.3782350.00000015.64539473.14361617.96447545.66012000110010
3567.43116612.4533437.08911912.8337096.47802310.9781517.9145423.06718195.6395540.000000530.0702771.1627911.5737702.270270-1.30506.1246.72430111.171170-5.2765751942.72776521.3351380.0000000.0000006.42082215.64539462.10730431.96194887.50999700110000
4112.7707354.4147192.8662362.8662361.8756341.8756341.0364500.72766417.98045112.841643118.0629941.4444442.1111112.555556-1.10108.0563.9312729.855741-1.67629646.04184111.9386116.92373719.3864000.00000011.93861118.8834849.58907433.33333322101110
5144.9737375.5401113.4817483.4817482.4810292.4810291.5124780.67120936.9299270.000000150.0528231.0833331.5833331.916667-0.98140.0503.01540510.087469-1.66930660.0000005.9693050.0000000.0000000.00000011.75255024.4158669.58907443.33333311100100
6397.3782537.6302294.0503644.0503642.4279012.4279011.9204951.1209150.00000017.919845249.9548391.2500001.8333332.333333-1.39243.0651.84536011.374861-0.296713105.7832450.0000000.00000018.57286219.5414025.90718037.5675044.73686342.16666700011000
7406.26844510.7561275.9855595.9855594.2481414.2481412.8377641.71843942.7238990.000000308.0743471.1428571.8571432.428571-1.81292.1112.02566311.129428-1.554927120.000000118.5375820.0000000.0000000.00000012.94444236.80985918.94745253.66666700011000
8626.9494628.3433374.4316987.4609183.3814466.0711152.9366521.77057952.9581680.000000352.2249741.0000001.7777782.3333330.44320.2156.94840011.749658-5.5815011724.41586621.3351380.0000000.0000000.00000023.46809130.64376731.96194861.66666700011000
931.0195501.4142140.4927990.4927990.1178510.1178510.0000000.0000000.0000006.41009561.0163782.0000002.0000002.000000-0.0458.0161.4700008.583333-0.25000020.0000000.0000000.0000000.0000000.0000006.4100950.0000004.79453713.83333300111000
BertzCTChi1Chi1nChi1vChi2nChi2vChi3vChi4nEState_VSA1EState_VSA2ExactMolWtFpDensityMorgan1FpDensityMorgan2FpDensityMorgan3HallKierAlphaHeavyAtomMolWtKappa3MaxAbsEStateIndexMinEStateIndexNumHeteroatomsPEOE_VSA10PEOE_VSA14PEOE_VSA6PEOE_VSA7PEOE_VSA8SMR_VSA10SMR_VSA5SlogP_VSA3VSA_EState9fr_COOfr_COO2EC1EC2EC3EC4EC5EC6
id
14828965.29402014.3145167.59942312.5391175.33640011.1304397.5219632.50939450.6326136.420822518.2562271.0000001.6857142.485714-1.63474.2166.22616011.833404-4.6612941428.74946213.79200218.19910111.62981923.52059032.80004324.85665613.82565871.20321911011000
14829698.84584816.11549912.67564212.6756429.5071949.5071946.2098594.01565842.39569323.533039368.0256961.3333332.2000002.933333-1.66355.0735.95928711.419714-1.2911111318.311899133.5256000.0000000.0000000.00000018.27683075.70690919.17814999.66666711101000
14830258.4908625.1090613.9662423.9662422.2481032.2481031.9551711.0780935.96930511.312963138.0316941.6666672.0000002.666667-1.10128.0861.83975210.266852-1.08760330.0000005.96930512.1327346.06636712.1736755.9693056.42082211.21535939.16666711110001
14831289.7237986.3103493.8425715.1437392.4710514.5625712.0965581.05455239.0276390.000000260.0297191.4000001.7000001.900000-0.02247.0313.24712310.779251-4.8331531018.3118997.8226970.0000000.0000000.0000007.82269724.53980013.82565836.81985700010010
1483283.6905843.5606601.6895331.6895330.9240690.9240690.4082480.0000000.00000018.628754112.0272772.0000002.5000002.500000-0.61108.0561.9600009.576389-0.33625730.0000000.0000000.00000013.3445595.5352025.78324519.9514414.79453716.83333300110000
14833632.20704110.9113036.5799339.1799644.6535836.0300523.6705281.77057932.9715296.606882347.0630841.5625002.1875002.687500-1.87333.1124.87940811.426427-5.0779091617.24853515.6453940.00000013.8474746.92373734.40769932.60702418.94745261.37661000110000
1483462.5684252.6427341.4468981.4468980.8794970.8794970.1746200.0000000.0000000.00000074.0242032.6666672.6666672.666667-0.5370.0270.7293755.5069440.25000000.0000000.0000000.0000000.0000006.0663670.0000006.4208220.00000010.00000000010100
14835981.32747610.3630816.1462196.1462194.7005764.7005763.0648462.13389717.2485350.000000297.0895601.4615382.1538462.769231-3.15282.2202.04550212.118907-0.446105834.4809430.0000000.0000000.00000023.76255310.9692440.0000000.00000066.66666700110000
14836299.1712489.9491616.5897617.8489135.2765685.4764363.9789732.29983345.6237940.000000265.9592700.9500001.4000001.950000-0.44257.1198.42439910.909292-4.18152770.0000007.82269719.4205790.0000000.0000007.822697108.9610479.08879545.58333300011000
14837785.39406215.6711429.89616410.2342647.8602968.5226055.6455023.31289382.4482465.687386437.2348281.0416671.7500002.500000-1.36402.3265.17843112.211804-5.394920160.00000015.6453940.00000037.1071120.00000032.75761138.70413022.70133871.12704400010100